Lessons from Terry Winograd

Terry Winograd built SHRDLU to parse language in constrained settings, then left symbolic AI after recognizing that computers could not grasp meaning, redirecting his Stanford work toward human-computer interaction and software grounded in social context.

Lessons from Virginia Postrel

Virginia Postrel, an author and cultural critic, studies progress through aesthetics, textiles, and social change, replacing conventional political divides with a framework that favors decentralized discovery and illuminates innovation, glamour, style, and the future’s productive messiness.

Lessons from Yoshua Bengio

Yoshua Bengio, a Turing Award co-winner in deep representation learning, moved from advancing artificial neural networks to AI safety, warning that unconstrained models and autonomous agency could pose existential risks and proposing oversight of global computing power.

Agent Skills Are Becoming Trainable Assets

SkillOpt treats reusable agent skills as operating assets that can be trained, validated, and reused. It shows how procedural instructions can be optimized against tasks, checked for regressions, and distributed with evidence.

Lessons from Adam Wiggins

Adam Wiggins co-founded Heroku, Ink & Switch, and Muse, wrote The Twelve-Factor App, and now organizes Local-First Conf.

Lessons from Aicha Evans

Aicha Evans, CEO of autonomous vehicle maker Zoox and a former Intel strategy chief, examines the shift from engineering to management, the realities of scaling hardware, and how broken projects expose tension between startup speed and corporate discipline.

Lessons from Alex Danco

Alex Danco, a writer, investor, and product leader, interprets technology through sociology and systems thinking, linking Silicon Valley status games, software’s shift from equity to debt, and the founder’s task of building worlds rather than products.

Lessons from Amy Edmondson

Amy Edmondson, Harvard Business School’s Novartis Professor of Leadership and Management, established the empirical foundation for psychological safety, showing what enables teams to admit errors, take interpersonal risks, and build organizations capable of learning from failure.

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